AgenticRoboRL: Bringing Coding-Agent Post-Training to Agentic Robotics Paper • 2610.28589 • Published 5 days ago • 40
CoEvo-RSI: When Harnesses Evolve, Which Models Should Follow? Paper • 2610.25078 • Published 7 days ago • 121
Matrix-Game 4.0: Harnessing Video Models for Real-Time Playable Game Worlds Paper • 2610.27999 • Published 5 days ago • 195
Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL Paper • 2604.17073 • Published Apr 18 • 9
Make Sparse Rewards Count: Density-Aware Reward Aggregation for Multi-Reward RL Paper • 2610.00574 • Published 25 days ago • 65
Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL Paper • 2610.21439 • Published 9 days ago • 45
view article Article The Most Intuitive Way to Understand Score Function Centering: Understand Trainer-Generator Mismatch in Async RL from the Score Function NormalUhr • 9 days ago • 11
Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL Paper • 2610.21439 • Published 9 days ago • 45
Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL Paper • 2610.21439 • Published 9 days ago • 45
SanSi: A Looped Typed Decision Model for System 1.5 Thinking Paper • 2610.07730 • Published 19 days ago • 23
CorrGRPO: Correlation-Normalized GRPO for Multi-Reward Learning Paper • 2609.36820 • Published 26 days ago • 41
A Missing Piece for Trustworthy AI Reviewers: From Benchmarking Rhetorical Robustness to SciCore Review Paper • 2609.39027 • Published 25 days ago • 78
Make Sparse Rewards Count: Density-Aware Reward Aggregation for Multi-Reward RL Paper • 2610.00574 • Published 25 days ago • 65
Make Sparse Rewards Count: Density-Aware Reward Aggregation for Multi-Reward RL Paper • 2610.00574 • Published 25 days ago • 65
CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents Paper • 2605.25624 • Published May 25 • 34